Weekly Newsletter

Our hyper-networked society is producing data at an ever increasing rate. According to IBM research, more than 2.5 quintillion bytes of data are created each day; and more than 90 percent of the world’s stored data was created in the last two years alone. Analyst firm IDC estimates that the

Heatmaps are now becoming a popular visualization technology used outside the fence of data science. They can be used, for example, to produce an overlay on a webpage to let web site administrators easily understand which parts of the site are most interesting (application examples can be found at https://heatmap.me).

Word is that Snapchat, the Los Angeles based photo messaging application, is preparing a foray into a very hot branch of artificial intellligence – deep learning. Citing a knowledgeable source, VentureBeat reveals that the popular app, with an interest in deep learning has been developing a research team “to run

A year ago, Cessar Cerrudo, the CTO at IOActive Labs showed how the poorly secured traffic control system in the US cities can be hacked into and manipulated, much like what we’ve seen in movies like Die Hard 4 and Italian Job. Such vulnerability is common to most countries, using

Azure DocumentDB, Microsoft’s fully managed NoSQL document database service that was first previewed mid last year, is now generally available, the software giant revealed Wednesday. The latest offering addresses the growing demands for mobile first, cloud first application development, wrote the Director of Program Management, DocumentDB, John Macintyre, in a

Once upon a time, the United States government was a strong advocate for phone encryption. They encouraged iPhone users, for example, to take advantage of the four-digit passcode option to keep their phones more secure. Apple’s recent iOS 8 Update even took encryption to the next level: all important data,

Alation, a California based data accessibility startup emerged from stealth mode last week to make available its enterprise data accessibility platform that promises to bring together machine learning and “human insight” to assist the data-driven organisation’s workforce in collaborative analytics, data search and discovery, data optimization and effective data governance.

Traditional databases historically haven’t been fast enough to act on real-time data, forcing developers to go to great effort to write applications that capture and process fast data. Some developers have turned to tools like Storm or Spark Streaming; others have patched together a set of open source projects in

Sisense, the business analytics software company that offers business intelligence products has revealed in a new study, an increase in “confidence” in the UK tech sector through 2014. Analyses of a decade worth of startup data on 12,000 UK companies against data on approximately 300,000 companies in the CrunchBase database

Scale up or scale out? As we develop better tools and strategies for treating the whole data center- real or virtual- as a “server,” the answer seems obvious: it’s all about scaling out. But that’s the big picture. While we’re scaling up, to more and more boxes, inside the box